Vagrant is a tool designed to create and configure lightweight, reproducible, and portable development environments. It leverages a declarative configuration file which describes all software requirements, packages, operating system configuration, and users.
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Red Hat OpenShift
Score 9.3 out of 10
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OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.
Docker has a few advantages, especially with the disk size bloat brought on by Vagrant's hosting an entire OS and project in a VM. It relies on native tools, however, and may not support every software. Vagrant provides uniformity, efficiency and repeatability within team work …
I liked lando better because lando seemed extremely easy to setup compared to other VM's and it seemed faster though that project was simpler. Virtualbox I ran on windows and it has a gui and has often been slow. The vagrant boxes I used did well but had slightly more …
Docker feels lighter, faster, but Vagrant offers better support across platforms, which is a must in my company where there are users on Linux, Mac OS and Windows.
Virtualbox and VMware were easier products to set up but did not stack up against Vagrant with the customization and the ability to specifically test and work with our code base. Virtualbox and VMware were more generic solutions that may be easier but they did not fulfill the …
MAMP is a much simpler solution than Vagrant. Pretty much anyone should be able to get MAMP up and running quickly, and it's much easier to maintain. However, MAMP is fairly limited to specific versions of software and runs within macOS, so it won't always completely be an …
Previously I had used MAMP and DesktopServer. MAMP was constantly giving me MySQL problems and is frustrating in that it limits how many installs you can have. DesktopServers was a little better, but broke when i switched to High Sierra OSX. Their website and support were very …
I like Vagrant much more than Docker. In my opinion it's easier and more flexible to configure a Vagrant machine how i like it compared to Docker. Of course Docker executes faster, but with Vagrant only the machine creation or booting process is slower, normally you don't …
There's not much that I'm aware of that really does exactly what Vagrant does. Many of its tasks could be accomplished manually or via custom scripts. However, with Vagrant, automation is within easy grasp as well as a large community of experts who have pre-built solutions …
Vagrant is a little different than other options out there. It blurs the lines between the server environment and the local environment. Options like MAMP and XAMPP allow a developer to run a local version of Apache, MySQL and PHP locally, but it's all based on the local …
Vagrant is more of a meta-tool compared to traditional VM software. It provides a layer on top of VMware or VirtualBox. Configurations in a Vagrantfile are so much easier to manage than complete VMs.
In comparison to Docker, Vagrant is a lot easier to create its [containers] boxes, than it is with Docker. Our company already dealt with and its devops team knew somewhat well the way of Vagrant, so it was quite natural to go Vagrant when trying to choose which would be our …
By default Vagrant uses VirtualBox but compared to using VirtualBox directly, I've found using Vagrant makes things easier. For one, you can commit your Vagrant configuration to GitHub and manage changes that way. I'm not sure how you'd handle updated virtual machines to all …
Nothing like OpenShift. Actually, this was our first one. We toyed with maybe doing raw Kubernetes, but with an enterprise company you need an enterprise product.
Comparing the 2, open source Kubernetes is quicker to setup by about 75%, less restrictive, and free of course, but it lacks the security and support of Red Hat, and deploying features is much harder compared to with operators. For buisiness purposes, OpenShift is just more …
Even though Red Hat OpenShift has more overhead than many other Kubernetes flavors, we have selected Red Hat OpenShift because of it's focus on Security and because of it's excellent vendor support.
Red Hat OpenShift has a better security posture than EKS. I enjoy the console on Red Hat OpenShift more as well. I believe there is greater observability for Red Hat OpenShift.
The Tanzu Platform seemed overly complicated, and the frequent changes to the portfolio as well as the messaging made us uneasy. We also decided it would not be wise to tie our application platform to a specific infrastructure provider, as Tanzu cannot be deployed on anything …
If you're writing software, particularly software that depends on other services (web servers or databases for example) then Vagrant is great. I know some people skip Vagrant and just set up virtual machines on their own, but I've found that Vagrant streamlines the process nicely and makes it easy to update or swap out versions. If you're a web developer (which I am) it's amazing. I can have several boxes configured for my different projects and I just spin them up or down based on what I'm working on. One scenario where this might not be ideal is if you're running Vagrant on a computer that has limited resources. Since you're running a virtual machine with its own operating system and such you'll want a host computer with enough RAM, hard drive space and CPU to run the virtual machine properly without killing the performance of the host. The virtual disks can also take up a lot of space if you're not careful so if you have many virtual machines provisioned and don't clean up the old ones that you're not using, you may find that your hard drive is full. Each of my Linux servers take up about 10GB of disk space.
Red Hat OpenShift, despite its complexity and overhead, remains the most complete and enterprise-ready Kubernetes platform available. It excels in research projects like ours, where we need robust CI/CD, GPU scheduling, and tight integration with tools like Jupyter, OpenDataHub, and Quiskit. Its security, scalability, and operator ecosystem make it ideal for experimental and production-grade AI workloads. However, for simpler general hosting tasks—such as serving static websites or lightweight backend services—we find traditional VMs, Docker, or LXD more practical and resource-efficient. Red Hat OpenShift shines in complex, container-native workflows, but can be overkill for basic infrastructure needs.
Easy to create machines with different OS's, list of them can be found from Vagrant's website with configuration details.
Flexible configuration, user can determine what software will be pre-installed to machine. Saves time because it doesn't need to be done manually every time.
Easily manage full environments, not just single machines, with single command.
One thing is the way how it works with the GitHubs model on an enterprise business, how the hub and spoke topology works. Hub cluster topology works the way how there is a governance model to enforce policies. The R back models, the Red Hat OpenShift virtualization that supports the cube board and developer workspace is one big feature within. So yes, these are all some features I would call out.
Learning curve is steep - It can be challenging for someone to set up initially. After some coaching, the basics come pretty quickly though.
Relies on external Virtual Machine applications - It would be great if Vagrant itself could run the virtual machine instead of leaning on other virtualization software. This is a small detail, but would make setup simple.
So I don't know that this is a specific disadvantage for Red Hat OpenShift. It's a challenge for anything that Kubernetes face is. There's an extremely large learning curve associated with it and once you get to the point where you're comfortable with it, it's really not bad. But beating that learning curve is a challenge. I've done a couple presentations on our implementation of Red Hat OpenShift at various conferences and one of the slides I always have in there is a tweet from years ago that said, "I tried to teach somebody Kubernetes once. Now neither of us knows what it is."
This is the current strategy for the company, most of the products in the organisation are aligning to Openshift and various use cases it support. Also lot of applications are being developed for AI use case, openshift.AI provides opportunity to host and leverage the AI capabilities for these applications
The virtualization part takes some getting used to it you are coming from a more traditional hypervisor. Customization options are not intuitive to these users. The process should be more clear. Perhaps a guide to Openshift Virtualization for users of RHV, VMware, etc. would ease this transition into the new platform
Redhat openshift is generally reliable and available platform, it ensures high availability for most the situations. in fact the product where we put openshift in a box, we ensure that the availability is also happening at node and network level and also at storage level, so some of the factors that are outside of Openshift realm are also working in HA manner.
Overall, this platform is beneficial. The only downsides we have encountered have been with pods that occasionally hang. This results in resources being dedicated to dead or zombie pods. Over time, these wasted resources occasionally cause us issues, and we have had difficulty monitoring these pods. However, this issue does not overshadow the benefits we get from Openshift.
Every time we need to get support all the Red Hat team move forward looking to solve the problem. Sometimes this was not easy and requires the scalation to product team, and we always get a response. Most of the minor issues were solved with the information from access.redhat.com
I was not involved in the in person training, so i can not answer this question, but the team in my org worked directly with Openshift and able to get the in person training done easily, i did not hear problem or complain in this space, so i hope things happen seamlessly without any issue.
We went thru the training material on RH webesite, i think its very descriptive and the handson lab sesssions are very useful. It would be good to create more short duration videos covering one single aspect of openshift, this wll keep the interest and also it breaks down the complexity to reasonable chunks.
Docker has a few advantages, especially with the disk size bloat brought on by Vagrant's hosting an entire OS and project in a VM. It relies on native tools, however, and may not support every software. Vagrant provides uniformity, efficiency and repeatability within team work and for deployment and testing.
We utilized the Thycotic Secret Service to manage all our application secrets, resulting in seamless integration with our applications. We developed all the applications using Red Hat Fuse (currently migrated to Quarkus). We used the built-in Kali Linux support of OpenShift to manage and configure the services and API. Additionally, the Red Hat Developer Studio facilitates faster development.
This is a great platform to deployment container applications designed for multiple use cases. Its reasonably scalable platform, that can host multiple instances of applications, which can seamlessly handle the node and pod failure, if they are configured properly. There should be some scalability best practices guide would be very useful
It has allowed us to see where we need to be in the container world. I'm going to call it a net neutral impact, not negative or positive. It has given us a sense of what we are ready for and what we're not ready for. You know where you stand.
You don't know what you don't know, so it helps us know what we want to know.